Artificial Intelligence in Modern Medical Science

Abstract

Medical technology powered by artificial intelligence is quickly developing into useful clinical practice solutions. Deep learning algorithms can handle the growing volumes of data produced by mobile monitoring sensors found in wearables, smartphones, and other medical devices. Currently, only a very limited number of clinical practice settings, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging, benefit from the application of artificial intelligence. Patients have been waiting for the deployment of augmented medicine since it gives them more autonomy and more individualized care, but doctors have been resistant because they weren't ready for such a change in clinical practice. The purpose of this study is to glance over recent scientific material and offer a perspective on the advantages, potential benefits, and potential concerns of established artificial intelligence applications in the modern healthcare sector.